conftrace_

proper loss

26 papers

Explore in graph

Co-occurring keywords

loss function (462) classification calibration (13) multiclass classification (181) bipartite ranking (23) multiclass loss (3) regret bound (1926) surrogate loss (94) calibration error (61) composite loss (4) proper scoring rule (24)

Papers

Proper losses regret at least 1/2-order JMLR 2025
Optimal Multiclass U-Calibration Error and Beyond NIPS 2024
Proper Losses, Moduli of Convexity, and Surrogate Regret Bounds COLT 2023
The Geometry and Calculus of Losses JMLR 2023
Proper Losses for Discrete Generative Models ICML 2023
When Does Optimizing a Proper Loss Yield Calibration? NIPS 2023
LegendreTron: Uprising Proper Multiclass Loss Learning ICML 2023
Being Properly Improper ICML 2022
On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective CVPR 2021
Lower-Bounded Proper Losses for Weakly Supervised Classification ICML 2021
Surrogate Regret Bounds for Polyhedral Losses NIPS 2021
All your loss are belong to Bayes NIPS 2020
Monge blunts Bayes: Hardness Results for Adversarial Training ICML 2019
A loss framework for calibrated anomaly detection NIPS 2018
Bipartite Ranking: a Risk-Theoretic Perspective JMLR 2016
Composite Multiclass Losses JMLR 2016
Bayes-Optimal Scorers for Bipartite Ranking COLT 2014
The Geometry of Losses COLT 2014
Surrogate Regret Bounds for the Area Under the ROC Curve via Strongly Proper Losses COLT 2013
Mixability is Bayes Risk Curvature Relative to Log Loss JMLR 2012
A Characterization of Scoring Rules for Linear Properties COLT 2012
Proper losses for learning from partial labels NIPS 2012
Mixability is Bayes Risk Curvature Relative to Log Loss COLT 2011
Composite Multiclass Losses NIPS 2011
Convexity of Proper Composite Binary Losses AISTATS 2010